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Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model
To eradicate most infectious diseases, mathematical modelling of contagious diseases has revealed that a combination of quarantine, vaccination, and cure is frequently required. However, eradicating the disease will remain a difficult task if they aren't provided at the appropriate time and in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843339/ http://dx.doi.org/10.1016/j.aej.2022.02.024 |
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author | Malik, Abdul Alkholief, Musaed Aldakheel, Fahad M. Ali Khan, Azmat Ahmad, Zubair Kamal, Warda Khalil Gatasheh, Mansour Alshamsan, Aws |
author_facet | Malik, Abdul Alkholief, Musaed Aldakheel, Fahad M. Ali Khan, Azmat Ahmad, Zubair Kamal, Warda Khalil Gatasheh, Mansour Alshamsan, Aws |
author_sort | Malik, Abdul |
collection | PubMed |
description | To eradicate most infectious diseases, mathematical modelling of contagious diseases has revealed that a combination of quarantine, vaccination, and cure is frequently required. However, eradicating the disease will remain a difficult task if they aren't provided at the appropriate time and in the right quantity. Control analysis has been shown to be an effective way for discovering the best approaches to preventing the spread of contagious diseases through the development of disease preventive interventions. The method comprises reducing the cost of infection, implementing control measures, or both. In order to gain a better understanding of COVID-19′s future dynamics, this study presents a compartmental mathematical model. The problem is modelled as a highly nonlinear coupled system of classical order ODEs, which is then generalised using the Mittag-Leffler kernel's fractal-fractional derivative. The uniqueness of the fractional model under discussion has also been demonstrated. The boundedness and non-negativity of the considered model are also established. The next generation technique is used to examine basic reproduction, and disease free and endemic equilibrium. We used reported cases from Australia in this investigation due to the high risk of infection. The reported cases are considered between 1st July 2021 and 20th August 2021. On the basis of previous data, the spread of infection is predicted for the next 600 days which is shown through different graphs. The graphical solution of the considered nonlinear model is obtained via numerical scheme by implementing the MATLAB software. Based on the fitted values of parameters, the basic reproduction number [Formula: see text] is calculated as [Formula: see text]. Furthermore, the impact of fractional and fractal parameter on the disease spread among different classes is demonstrated. In addition, the impact of quarantine and vaccination on infected people is dramatically depicted. It's been argued that public awareness of the quarantine and effective vaccination can drastically reduce infection rates in the population. |
format | Online Article Text |
id | pubmed-8843339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88433392022-02-15 Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model Malik, Abdul Alkholief, Musaed Aldakheel, Fahad M. Ali Khan, Azmat Ahmad, Zubair Kamal, Warda Khalil Gatasheh, Mansour Alshamsan, Aws Alexandria Engineering Journal Article To eradicate most infectious diseases, mathematical modelling of contagious diseases has revealed that a combination of quarantine, vaccination, and cure is frequently required. However, eradicating the disease will remain a difficult task if they aren't provided at the appropriate time and in the right quantity. Control analysis has been shown to be an effective way for discovering the best approaches to preventing the spread of contagious diseases through the development of disease preventive interventions. The method comprises reducing the cost of infection, implementing control measures, or both. In order to gain a better understanding of COVID-19′s future dynamics, this study presents a compartmental mathematical model. The problem is modelled as a highly nonlinear coupled system of classical order ODEs, which is then generalised using the Mittag-Leffler kernel's fractal-fractional derivative. The uniqueness of the fractional model under discussion has also been demonstrated. The boundedness and non-negativity of the considered model are also established. The next generation technique is used to examine basic reproduction, and disease free and endemic equilibrium. We used reported cases from Australia in this investigation due to the high risk of infection. The reported cases are considered between 1st July 2021 and 20th August 2021. On the basis of previous data, the spread of infection is predicted for the next 600 days which is shown through different graphs. The graphical solution of the considered nonlinear model is obtained via numerical scheme by implementing the MATLAB software. Based on the fitted values of parameters, the basic reproduction number [Formula: see text] is calculated as [Formula: see text]. Furthermore, the impact of fractional and fractal parameter on the disease spread among different classes is demonstrated. In addition, the impact of quarantine and vaccination on infected people is dramatically depicted. It's been argued that public awareness of the quarantine and effective vaccination can drastically reduce infection rates in the population. THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022-11 2022-02-15 /pmc/articles/PMC8843339/ http://dx.doi.org/10.1016/j.aej.2022.02.024 Text en © 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Malik, Abdul Alkholief, Musaed Aldakheel, Fahad M. Ali Khan, Azmat Ahmad, Zubair Kamal, Warda Khalil Gatasheh, Mansour Alshamsan, Aws Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model |
title | Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model |
title_full | Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model |
title_fullStr | Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model |
title_full_unstemmed | Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model |
title_short | Sensitivity analysis of COVID-19 with quarantine and vaccination: A fractal-fractional model |
title_sort | sensitivity analysis of covid-19 with quarantine and vaccination: a fractal-fractional model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843339/ http://dx.doi.org/10.1016/j.aej.2022.02.024 |
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